update README#7
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definability
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Apr 15, 2026
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| ```bash | ||
| python3.12 -m venv .venv | ||
| ``` |
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Add 3-4 spaces to not break the list but make the code segments parts of the items
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| ```bash | |
| python3.12 -m venv .venv | |
| ``` | |
| ```bash | |
| python3.12 -m venv .venv |
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| ```bash | ||
| source .venv/bin/activate | ||
| ``` |
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Add 3-4 spaces to not break the list but make the code segments parts of the items
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| ```bash | |
| source .venv/bin/activate | |
| ``` | |
| ```bash | |
| source .venv/bin/activate |
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| ```bash | ||
| pip install -r requirements.txt | ||
| ``` |
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| ```bash | |
| pip install -r requirements.txt | |
| ``` | |
| ```bash | |
| pip install -r requirements.txt |
| ## Acknowledgements | ||
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| We would like to express our sincere gratitude to the course instructor, | ||
| **Valerii Krygin**, <!-- (ak `Boss of this Gym` ♂️💪) --> |
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| **Valerii Krygin**, <!-- (ak `Boss of this Gym` ♂️💪) --> | |
| Valerii Krygin (@definability), <!-- (a.k.a. `Boss of this Gym` ♂️💪) --> |
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| ### Description | ||
| The program converts a number to a noised (bernoulli noise) image and then decodes it. | ||
| The program converts a number to a noisy (bernoulli noise) image and then decodes it. |
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| The program converts a number to a noisy (bernoulli noise) image and then decodes it. | |
| The program converts a number to a noisy (Bernoulli noise) image and then decodes it. |
Ruslan3584
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Apr 15, 2026
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| - [solutions.pdf](`all-labs.pdf`) | ||
| - [tasks.pdf](`tasks.pdf`) |
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Check the links
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| - [solutions.pdf](`all-labs.pdf`) | |
| - [tasks.pdf](`tasks.pdf`) | |
| - [solutions.pdf](all-labs.pdf). | |
| - [tasks.pdf](tasks.pdf); The tasks document is the intellectual property of Valerii Krygin (@definability) and is included in this repository with explicit permission. |
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| - Maksym Shylo | ||
| - Ruslan Khomenko No newline at end of file |
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| - Maksym Shylo | |
| - Ruslan Khomenko | |
| - Maksym Shylo (@maksymshylo) | |
| - Ruslan Khomenko (@Ruslan3584) |
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I suggest using lab names and periods instead of dashes
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| - [Lab 1. Decoding of a noisy number](#lab-1--decoding-of-a-noisy-number) | |
| - [Lab 2. Risk minimization (interval loss function)](#lab-2--risk-minimization-interval-loss-function) | |
| - [Lab 3. Risk minimization (l1 loss function)](#lab-3--risk-minimization-l1-loss-function) | |
| - [Lab 4. Analysis of Nonbayesian Strategy](#lab-4--analysis-of-nonbayesian-strategy) | |
| - [Lab 5. Efficient computation of a sum of a subarray in 1D](#lab-5--efficient-computation-of-a-sum-of-a-subarray-in-1d-2d-and-3d) | |
| - [Lab 6. Divisibility sum of digits](#lab-6--divisibility-sum-of-digits) | |
| - [Lab 7. Binocular stereo vision](#lab-7--binocular-stereo-vision) | |
| - [Lab 8. Binary Clustering](#lab-8--binary-clustering) | |
| - [Lab 9. Finding the separating circle](#lab-9--finding-the-separating-circle) |
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From the website:
We grant permission to use and publish all images and disparity maps on this website. However, if you use our datasets, we request that you cite the appropriate paper(s): [1] for the 2001 datasets, ...
Please do:
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| [Images](http://vision.middlebury.edu/stereo/data/): D. Scharstein and R. Szeliski. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. | |
| International Journal of Computer Vision, 47(1/2/3):7-42, April-June 2002. |
Ruslan3584
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Apr 16, 2026
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Noised->Noisy